Field Theory is a TypeScript toolkit for building AI agents that integrate language models, tools, and workflows into applications using a graph-based architecture.
Field Theory is an AI-native application platform that lets teams design, deploy, and manage complex AI workflows as structured, versioned applications. It provides a unified environment for composing models, tools, and data flows into reliable, production-ready systems, rather than ad hoc scripts or isolated prompts. The platform is designed to help developers move from experimentation to maintainable AI products with clear structure, observability, and governance.
At its core, Field Theory offers a visual and declarative way to define AI pipelines, including prompt chains, retrieval-augmented generation (RAG), tool calls, and business logic. It supports robust version control for workflows and configurations, making it easier to track changes, roll back, and collaborate across teams. Integrated evaluation and monitoring capabilities allow users to inspect inputs, outputs, and intermediate states, compare model variants, and measure quality over time. The platform also emphasizes reproducibility and environment management, ensuring that AI applications behave consistently across development, staging, and production.
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